Impact of Urban Village on Job-housing Balance in Shenzhen: A Study Using Mobile Phone Signaling Data

TONG De1, GAO Jing1, GONG Yongxi2,†

1. Peking University (Shenzhen) Laboratory for Urban Future, Peking University Shenzhen Graduate School, Shenzhen 518055; 2. Shenzhen Key Laboratory of Urban Planning and Decision Making, School of Architecture, Harbin Institute

of Technology (Shenzhen), Shenzhen 518055; † Corresponding author, E-mail: gongyx@hit.edu.cn Abstract Taking Shenzhen as an example and TAZ (traffic analysis zone) as the research unit, by means of multiple linear regression and spatial lag model, using mobile phone signaling data, urban built environment data and so on, the role of urban village in promoting job-housing balance is revealed under the premise of controlling the influence of variables such as built environment on the commuting distance. Main conclusions are as follows. Firstly, the average commuting distance of TAZ with a high proportion of urban villages is relatively short and the existence of urban village is favorable to promote job-housing balance, which is related to the large scale, scattered distribution, low rent, flexible lease period and low income of the tenants of urban villages in Shenzhen. Secondly, built environment also has significant influence on average commuting distance of residents. Increasing the degree of land use mixing, increasing the diversity of built environment, optimizing public transportation and destination accessibility will reduce the average commuting distance of TAZ residents in varying degrees and the average commuting distance of residents in TAZ with good social and economic environment is longer. Thirdly, the commuting distance of residents has obvious spatial autocorrelation. Key words job-housing balance; urban village; built environment; mobile phone signaling data; Shenzhen

居住–就业空间不匹配可能导致交通堵塞[1]、[2] [3–4]通勤成本增加 和低技能劳动者失业 等一系列社会问题, 始终是城市研究领域关注的焦点。特别是人口和经济规模可观的大城市, 由职住空间分离

导致的高通勤成本不仅严重地影响人们的生活质量, 而且大大降低城市空间利用效率和城市整体竞争力, 成为空间治理的难点[2,5]。其中, 与城市中高收入人群相比, 受收入水平与工作技能的限制, 低